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    Vietnam 2022-2024

     , Statistics Denmark is implementing the first phase of a Strategic Sector Program in Vietnam financed by the Ministry of Foreign Affairs. Our partner is the General Statistics Office of Viet Nam (GSO). The GSO is an organization under the Ministry of Planning and Investment (MPI) performing the advisory function for the MPI Minister on state management in statistics and providing social and economic information to national and international organizations and individuals. The GSO also plays a key role in monitoring the SDGs., The overall objective, The overall objective of the Strategic Sector Program is to contribute to the development process of the Viet Nam by providing adequate and trustworthy statistics complying with the international standards and trends. , The project plays an important role in the process to informed decision-making by supporting the development of at least four areas:, Modernizing the data collection methods for population and migration statistics so that Viet Nam can improve the quality of demographic statistics and gain more reliable information on the developments m the population, Developing education statistics with the ambition that an education sector will have an informed platform to base daily operations and future development, Introducing Big Data as a new data source in Viet Nam and producing experimental statistics in order to provide more knowledge on the Vietnamese society, Developing the GSO's capacity to develop environmental-economic accounts, hence increase available knowledge on the environmental situation in Viet Nam and improve monitoring and reporting of the environmental-related SDGs., The project is structured around four outcomes and associated outputs:, A. , Foundation for using administrative data for producing population statistics information improved., Output A: Administrative data for compilation population statistics analyzed, B. Quality of education statistics is strengthened by the consistent use of administrative data on education., Output B: Administrative data on education is case studied, C. Big Data is used as a new data source for producing statistics in Viet Nam., Output C: At least one pilot experimental statistics based on Big Data is produced, D. System of environmental-economic accounts is studied, Output D: Environmental-economic accounts are compiled to have more indicators for SDG monitoring indicators are available for SDG monitoring

    https://www.dst.dk/en/consulting/projects/ghana-morocco-and-vietnam-2019-2024/vietnam-2022-2024

    Reporting to Intrastat via IDEP

    In IDEP it is possible to upload files from your economy system and e.g. upload both Intrastat Import and Export in the same file. It is also possible to manually enter data and save the most used country and goods codes for faster reporting. See guides and file examples below., Start IDEP, Many ERP systems (C5, Navision, SAP, XAL, Visma, m.fl.) can generate files which can be imported to IDEP. , Read about how to import data to IDEP and download file examples below:, Intrastat Multi Excel example file with new variables - (Excel), Intrastat Excel Line example file with new variables - (Excel), Intrastat Multi Excel Currency example file with new variables - (Excel), Guides to Data Import, Intrastat Multi Excel (Valuta/Currency) - Import data - (PDF), Intrastat Excel Line - Import data - (PDF), Intrastat SDF - file format and upload - (PDF), Intrastat Multi Text TAB - file format and upload - (PDF), Intrastat Text TAB - file format and upload - (PDF), File examples, Intrastat Multi Excel - example file - (Excel), Intratstat Multi Excel Currency - example file - (Excel), Intrastat eksport Excel Line - example file - (Excel), Intrastat import Excel Line - example file - (Excel), Intrastat eksport SDF-file - example file - (TXT), Intrastat import SDF-file - example file - (TXT), Intrastat Multi TEXT TAB - example-file - (TXT), Intrastat eksport Text TAB - example file - (TXT), Intrastat import Text TAB - example file - (TXT), CN8 Goods codes, CN8 goods codes search in IDEP - (PDF), Save line templates - (PDF), Save goods codes in IDEP - (PDF), VAT number validation, VAT number validation in IDEP - (PDF), VAT validation example file - (TXT), For more information about Intrastat see: , Intrastat information page

    https://www.dst.dk/en/Indberet/vejledning-til-digital-indberetning/indberetning-via-idep/intrastat

    Documentation of statistics: Households, Families and Children (Discontinued)

    Contact info, Population and Education , Get documentation of statistics as pdf, Households, Families and Children 2017 Month 01 , Previous versions, Households, Families and Children 2016, Households, Families and Children 2014, The statistics describe the resident population in Denmark. Statistics are produced covering three different kinds of units: households, families and persons. The statistics describe these units on the basis of household- and family-related variables (e.g. type of family, type of family with children, size of family, type of household)., Statistical presentation, The statistics on households and families describe the total population living in Denmark. Statistics are produced covering three different kinds of units: households, families and persons. The statistics describe these units on the basis of household- and family-related variables (e.g. type of family, size of family, type of household). The basis for the statistics consists solely of CPR data on sex, age, marital status, references to spouses and parents, and address specification. The address data form the basis of the division into households, municipalities and regions., Read more about statistical presentation, Statistical processing, Daily deliveries from the Central Population Register (CPR) provide the basis for the statistics., No corrections are made., Read more about statistical processing, Relevance, The statistics are used by municipalities, regions, ministries, labour market organizations, international organizations, the media and private persons for public and private planning purposes and as basis for public debate., Read more about relevance, Accuracy and reliability, It is very important for the primary data of the statistics that the address information is reliable. The statistics are influenced by the extent to which the population is not registered in the CPR register at correct addresses. No estimates are made of the scale of this problem, and it is not possible to make corrections for this., Read more about accuracy and reliability, Timeliness and punctuality, Statistics on households and families are published approx. 45 days after January 1st. Statistics on families with children are published approx. 135 days after January 1st., Read more about timeliness and punctuality, Comparability, The definition of families was changed in 2008. Statistics on families based on the new definition are accessible from the database Statbank Denmark back to 1986. These data cannot be compared to family statistics published before 2008., Read more about comparability, Accessibility and clarity, News from Statistics Denmark (Nyt fra Danmarks Statistik), Population and Elections (Statistical News (Statistiske Efterretninger)), StatBank Denmark (Danmarks Statistikbank). Statistical Yearbook, Statistical 10-year Review, the annual publication Vital Statistics (Befolkningen Udvikling).*, Read more about accessibility and clarity

    https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/households--families-and-children--discontinued-

    Documentation of statistics

    Documentation of statistics: Lunch schemes in daycare institutions (Discontinued)

    Contact info, Population and Education , Jens Bjerre , +45 29 16 99 21 , JBE@dst.dk , Get documentation of statistics as pdf, Lunch schemes in daycare institutions 2018 , Previous versions, These statistics show the children's lunch schemes in daycare institutions. The figures can be used for cross-municipal comparison. This survey is compiled for the first time in 2018, with figures for 2018., Statistical presentation, This survey is an annual estimate of who is responsible for lunch schemes in daycare institutions, including whether the lunch scheme is organized by the municipality, the parents, the daycare institution itself or the children themselves bring packed lunches. These statistics are grouped by type of institution, age groups and municipalities., Read more about statistical presentation, Statistical processing, Information on lunch schemes have been collected through a combination of interviews including web surveys, telephone interviews and direct interviews with municipalities and institutions. Validation primarily consist of re-contact with the municipalities and institutions in question., Read more about statistical processing, Relevance, The survey can be used for comparison across lunch-schemes in municipalities. It can further be used by parents to assess who is arranging lunch-schemes in the municipality where their children goes to day-care institution. These statistics are compiled on the basis of an agreement between the Ministry of Children and Social Affairs and Statistics Denmark. , Read more about relevance, Accuracy and reliability, There is uncertainty in the with few answers from the day-care facilities . Such errors are not systematically and have little effect to the accuracy. The accuracy might further be affected by not representing all day-care facilities in Denmark. The elimination of day-care facilities in the data processing and the limits to the survey design implies that some day-care facilities are missing in the data., Read more about accuracy and reliability, Timeliness and punctuality, These statistics are initially published on 30 November 2018 with figures for 2018. These statistics are published without delay, with reference to the announced time of publication in the release calendar., Read more about timeliness and punctuality, Comparability, These statistics are comparable between municipalities. These statistics have so far only been produced for the year 2018. Comparability over time is thus not yet possible., Read more about comparability, Accessibility and clarity, The statistics are published on Statistikbanken under Institutions in the tables FROK2 and FROK3., Read more about accessibility and clarity

    https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/lunch-schemes-in-daycare-institutions--discontinued-

    Documentation of statistics

    Documentation of statistics: Migration to and from Denmark (Discontinued)

    Contact info, Population and Education , Get documentation of statistics as pdf, Migration to and from Denmark 2016 , Previous versions, Migration to and from Denmark 2015, Migration to and from Denmark 2013, The purpose of the statistic is to describe the total immigration to Denmark and emigration from Denmark which have occurred during the period., Statistical presentation, The statistic describes immigration to Denmark and emigration from Denmark. A newsletter is published when the statistic is ready. The statistic is published each quarter. With the dissemination of the 4th quarter statistics an annual statistic for entire year is also published., At the same time tables in the Statbank are updated. Immigration and emigration can be broken down by age, sex, municipality, citizenship and country of origin or country of destination., Read more about statistical presentation, Statistical processing, CPR (central population register) is the source for information about migration., Data is processed 30 days after the end of the reference year and published shortly after. For 2013 the statistic was published 11 February 2014., Read more about statistical processing, Relevance, Municipalities, regions, ministries, organizations, research institutions, private enterprises, news media and individuals are among the users., Read more about relevance, Accuracy and reliability, Emigration numbers are systematically underestimated. This is due to the fact that many people move abroad without telling the authorities. It is the municipalities who are responsible for the maintenance of the CPR. The correct numbers for emigration is estimated to be about 15-20 percent higher than the published., A similar problem is not an issue for immigration where the underestimation is about 1-2 percent., Therefore it is not possible to have a correct measure for net migration simply by subtracting emigration from immigration. That would overestimate net migration., Persons who take up residence in Denmark without being registered in the CPR are not included among immigrated in the statistic., Asylum seekers are not included among immigrated in the statistic. It is only when they get a residence permit and are registered in the CPR that they will counted as immigrated., Read more about accuracy and reliability, Timeliness and punctuality, These statistics are published approximately 6 weeks after the end of the reference period. These statistics have always been published as planned., Read more about timeliness and punctuality, Comparability, There is a break in the series in 2007, where a new way of calculating the annual immigration and emigration was introduced. The changes are particularly relevant for emigration where the new method results in lower numbers., Read more about comparability, Accessibility and clarity, Statistic is published in newsletter and tables in the Statbank., Read more about accessibility and clarity

    https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/migration-to-and-from-denmark--discontinued-

    Documentation of statistics

    Documentation of statistics: District nursing (Discontinued)

    Contact info, Personal Finances and Welfare , Get documentation of statistics as pdf, District Nursing 2016 Month 12 , Previous versions, District Nursing 2015 Month 12, Statistics on home nursing is a revitalisation of the part of the indicators on municipal health regarding home nursing, where data are collected directly for the care systems of the municipalities. The statistic give the number of recipients, visits and services of home nursing. , Statistical presentation, The statistic of home nursing has information on number of visits and recipients of home nursing and on services delivered on types. The statistic is published in three tables in StatBank Denmark., Read more about statistical presentation, Statistical processing, Before using the data from the municipal care systems Statistics Denmark perform a validation process. There is no subsequent acceptance of data by the municipalities. The municipalities can transmit revised data, which will be part of the coming version of the statistics. Statistics Denmark compile the number of visits on the timestamp for the delivered service. There are made no imputations, correction of data nor seasonal adjustment., Read more about statistical processing, Relevance, The authorities and public institutions and citizens can use the statistics for analysis, research, debate etc. Yearly the statistics can be presented at two of Statistics Denmark's committees for users: Regions and Municipalities respectively Welfare Statistics., Read more about relevance, Accuracy and reliability, Data must be taken with reservations for the differences in the ways municipalities register. Over time within one municipality changes can also occur regarding coverage and/or practice, which can lead to shift in level. Since data are not available for all municipalities it is not possible to publish data for the regions and the whole country., Read more about accuracy and reliability, Timeliness and punctuality, The statistics is published in March, less than three months after the end of the reference period., Read more about timeliness and punctuality, Comparability, Comparability across time should be possible, though the comparability depends on the practice used in each municipality and possible changes in this over time. As regards the comparability on type of services this is assessed to be poor., Read more about comparability, Accessibility and clarity, Data are available on StatBank Denmark and via the homepage , home nursing, . , Read more about accessibility and clarity

    https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/district-nursing--discontinued-

    Documentation of statistics

    Documentation of statistics: Relocations (Discontinued)

    Contact info, Population and Education , Get documentation of statistics as pdf, Relocations 2017 , Previous versions, Internal migrations 2016, Relocations 2015, Relocations 2014, Relocations 2013, The purpose of these statistics is to describe the population's internal migration pattern in Denmark. Migrations to and from Greenland and The Faroe Island are not included. These statistics are e.g. used for administrative planning at national, regional and municipal level. The statistics are comparable since 1980., Statistical presentation, These statistics are an annual measure of the number of internal migrations, between and internally in the country's municipalities and regions. These statistics are grouped into moving day and moving month and contain information about the gender and age of the persons moving. The statistics also show moving patterns for young people under 30 years of age and how many who move away from home., Read more about statistical presentation, Statistical processing, The source of the statistics is Statistic Denmark's population register, which daily receives a outdraw which include information about the events such as internal migrations from CPR (Central Person Register)., After the end of the quarter is the population extracted from the population at the municipality level from the register and is published in the Statbank., Input data is not check for errors. Corrections on internal migrations from the source CPR (Central Person Register) will be updated in the database when they arrive., Read more about statistical processing, Relevance, Municipalities, countries, government department and other national organizations which want to take advantage of the statistical field of persons in order to improve the planning., Read more about relevance, Accuracy and reliability, The statistics are based on the Central Population Register. As the CPR register is an administrative register, the municipalities themselves have an interest in keeping the quality of the register at a high level. Analyses have shown that the quality of the CPR data is extremely high., Read more about accuracy and reliability, Timeliness and punctuality, These statistics are published approx. a month and a half after the end of the reference period. Publications are released on time, as stated in the release calendar. , Read more about timeliness and punctuality, Comparability, The period of waiting for the late reporting from the CPR register was shortened in the 4th quarter of 1992 from 40 days to 30 days. , The change method i 2007 means, that events which is happen in the former quarter/year, but at first is registered in the actual quarter/year, will not be counted as an internal migration in actual year. Analyses has shown that internal migrations for the year of 2007 that 2½ pct. of the internal migrations of the year is not part of the actual publish year., Read more about comparability, Accessibility and clarity, These statistics are published in the StatBank under , Internal migrations in Denmark, . These statistics also feature in the , Statistical Yearbook, . For more information go to the , Subject Page, ., Read more about accessibility and clarity

    https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/relocations--discontinued-

    Documentation of statistics

    Documentation of statistics: Livestock production

    Contact info, Food Industries, Business Statistics , Mona Larsen , +45 24 81 68 47 , mla@dst.dk , Get documentation of statistics as pdf, Livestock production 2024 , Previous versions, Livestock production 2023, Livestock production 2022, Livestock production 2021, Livestock production 2020, Livestock production 2017, Livestock production 2016, Livestock production 2015, Livestock production 2014, The purpose of Animal Products is to show size of production of animal agricultural products in Denmark. The statistics are used to monitor the price and quantity of development as well as the total value of animal production. The statistics on animal products have a long history and since 1900 it is possible to compare time series for the main figures, but from 1945 there have been adequate statistics in this area., Statistical presentation, Animal Products are a monthly, quarterly and annual measurement of total animal production, as well as of the main animal products. The statistics are stated in DKK million. and as quantity and price indices distributed by product groups., Read more about statistical presentation, Statistical processing, Data for these statistics are collected annually, monthly and quarterly, depending on product. Data comes from administrative registers, miscellaneous notifications, etc. In the individual statistics, the data received is checked for completeness and consistency, as well as consistency with previous periods. Data is checked again for completeness and consistency as well as correlation with previous periods in aggregation and calculation of quantity and price indices as well as total values ​​for animal agricultural products., Read more about statistical processing, Relevance, The statistics are used by ministries, agricultural organizations, as the basis for preparing analyzes and forecasts. The basic data and results of the statistics are also included in the National Accounts., Read more about relevance, Accuracy and reliability, The statistics give complete coverage and the margins of errors are restricted to estimates of the producers' own consumption, lower thresholds in the external trade statistics and incomplete statistics of stocks. The data derived from calculations of balances are residuals and the figures are subject to margins of errors. The greatest margins of errors are observed for the statistics compiled quarterly., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published without delay in relation to scheduled release times. , Read more about timeliness and punctuality, Comparability, The statistics have been compiled since 1900, but are in their present form comparable from 1946. Compared to the statistics regarding Prices and price index for agriculture, there can be small differences due to a slight difference in the weight composition of the individual main products., Read more about comparability, Accessibility and clarity, See the topic Food Consumption where there is reference to Statistics in the Food and Beverage Consumption by Type and Device (Year)., Read more about accessibility and clarity

    https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/livestock-production

    Documentation of statistics

    Ghana and Morocco advance in Open Data

    Both countries have made significant strides in enhancing their ODIN scores., 27 May 2025 12:00 , By , Klaus Munch Haagensen, Between 2020 and 2024, both Ghana and Morocco have made significant strides in enhancing their Open Data Inventory (ODIN) scores, reflecting their commitment to data transparency and accessibility. We use ODIN as a supplementary measure to track progress in our Strategic Sector Cooperation projects and to identify new areas to work on. You can read more about our Strategic Sector Cooperation (SSC) projects in Ghana and Morocco here:, Ghana, Morocco, The SSCs are financed by the Danish Ministyry of Foreign Affairs.,  , Facts about ODIN, The Open Data Inventory (ODIN) is developed by Open Data Watch, an international non-profit organization dedicated to improving the availability and openness of official statistics worldwide. ODIN assesses the coverage and openness of official statistics to identify gaps, promote open data policies, and improve access to data. You can read more about ODIN here: , https://odin.opendatawatch.com/,  , Ghana, : ODIN score increased from 39 to 54, elevating its overall global rank from 143, rd, to 107, th, . Significant advancements were observed in data coverage, particularly in economic and environmental statistics. In Ghana the progress is very much related to the launch of the StatsBank -https://statsbank.statsghana.gov.gh/ which has greatly improved access to data from 2023 and onwards. Despite improvements, challenges persist in data coverage, particularly in environmental and health statistics., Morocco, : ODIN score rose from 65 to 77, moving up to the overall rank as 25, th, globally from numer 41, st, . Improvements were most profound in data openness, supported by digital transformation initiatives and enhanced dissemination platforms. While Morocco has advanced in data openness, there is a need to improve the availability of disaggregated data, especially in health, gender and food security and nutrition statistics. Although there has been efforts to improve documentation and metadata, strengthening metadata documentation even more would definitely also enhance data usability., These improvements highlight focused efforts in enhancing data coverage and openness, contributing to better-informed decision-making and governance.

    https://www.dst.dk/en/consulting/news-from-international-consulting/2025/27-05-2025-Ghana-and-Morocco-Advance-In-Open-Data

    Documentation of statistics: Stocks of Wholesale

    Contact info, Short Term Statistics, Business Statistics , Mathias Dybdahl Bluhme , +45 40 22 56 37 , MDB@dst.dk , Get documentation of statistics as pdf, Stocks of Wholesale 2025 , Previous versions, Stocks of Wholesale 2024, Stocks of Manufacturers and Wholesale 2022, Stocks of Manufacturers and Wholesale 2021, Stocks of Manufacturers and Wholesale 2019, Stocks of Manufacturers and Wholesale 2018, Stocks of Manufacturers and Wholesale 2017, Stocks of Manufacturers and Wholesale 2016, Stocks of Manufacturers and Wholesale 2015, Stocks of Manufacturers and Wholesale 2014, The primary purpose of the statistics stocks of wholesale is to deliver timely figures for changes in stocks for use in the quarterly national accounts statistics. The statistics were first published in 1987, but the current form started in 2001., Statistical presentation, The statistics describe quarterly changes in the stocks of manufacturing and whole sale. , Read more about statistical presentation, Statistical processing, Data on stocks by the end of each quarter is collected through a survey of approx. 250 units. The reported data are validated, before they are grossed up from the sample to the population. Selected series are seasonally adjusted., Read more about statistical processing, Relevance, The statistics are important for the quarterly National Accounts. They are also used by ministries, banks, trade associations and others that want to include stock changes in assessments of the short-term economic situation., Read more about relevance, Accuracy and reliability, The sample has not been updated in several years and the method of grossing up very basic. However, it is still believed that the statistics present a good indication of stock changes, as all the largest enterprises are included - and it is to a very large degree the large enterprises that account for the significant changes in stock., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published 55 days after the end of the quarter with high punctuality. The statistics are finally after half a year., Read more about timeliness and punctuality, Comparability, Several countries produce statistics on stock changes, but there are no international or European regulations that ensure comparability. , The statistics measure only stock changes. For total stocks, see the , accounts statistics, ., The statistics go back to 1987., Read more about comparability, Accessibility and clarity, These statistics are published yearly in a Danish press release and quarterly in the StatBank. In the StatBank, these statistics can be found under , Stocks of manufacturing industries, and , Stocks of wholesale, ., Read more about accessibility and clarity

    https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/stocks-of-wholesale

    Documentation of statistics